diff --git a/docs/getting_started/mlops/mlops_second_steps.md b/docs/getting_started/mlops/mlops_second_steps.md
index f750eb93..e3f325cf 100644
--- a/docs/getting_started/mlops/mlops_second_steps.md
+++ b/docs/getting_started/mlops/mlops_second_steps.md
@@ -29,7 +29,7 @@ and lastly we want to create a new version of the data.
 
 ```python
 # create a task for the data processing part
-task = Task.init(project_name='data', task_name='ingest', task_type='data_processing')
+task = Task.init(project_name='data', task_name='create', task_type='data_processing')
 
 # get the v1 dataset
 dataset = Dataset.get(dataset_project='data', dataset_name='dataset_v1')
@@ -86,20 +86,24 @@ It is important to remember that pipelines are Tasks by themselves and can also
 
 ```python
 pipe = PipelineController(
-    always_create_task=True,
-    pipeline_project='data', pipeline_name='pipeline demo',
+    project='data', 
+    name='pipeline demo',
+    version="1.0"
 )
 
 pipe.add_step(
     name='step 1 data',
-    base_task_id='cbc84a74288e459c874b54998d650214',  # Put the task ID here
+    base_project_name='data', 
+    base_task_name='create'  
 )
 pipe.add_step(
     name='step 2 train', 
     parents=['step 1 data', ],
-    base_task_id='cbc84a74288e459c874b54998d650214',  # Put the task ID here
+    base_project_name='data', 
+    base_task_name='ingest'
 )
 ```
 
 We could also pass the parameters from one step to the other (for example `Task.id`).
-See more in the full pipeline documentation [here](../../fundamentals/pipelines.md).
\ No newline at end of file
+In addition to pipelines made up of Task steps, ClearML also supports pipelines consisting of function steps. See more in the 
+full pipeline documentation [here](../../fundamentals/pipelines.md).
\ No newline at end of file